Front. Microbiol.Frontiers in MicrobiologyFront. Microbiol.1664-302XFrontiers Media S.A.10.3389/fmicb.2025.1734471Original ResearchFormulation and field performance of liquid phosphate-solubilizing bacterial biofertilizer for improved growth, yield, and nutrient content of potatoBansalRiya1SoftwareInvestigationFunding acquisitionFormal analysisWriting – original draftData curationProject administrationMethodologyVyasPratibha1*†Funding acquisitionResourcesMethodologySupervisionConceptualizationWriting – review & editingValidationSharmaSandeep2SupervisionResourcesWriting – review & editingValidationMethodologyDepartment of Microbiology, College of Basic Sciences and Humanities, Punjab Agricultural University, Ludhiana, Punjab, IndiaDepartment of Soil Science, College of Agriculture, Punjab Agricultural University, Ludhiana, Punjab, IndiaCorrespondence: Pratibha Vyas, vyasp2000@pau.edu
In the present study, a liquid formulation(s) containing two phosphate-solubilizing Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 has been developed and tested for its efficacy to improve growth, yield, and nutrient content of potato (Solanum tuberosum L.) under integrated nutrient management system. These two phosphate-solubilizing strains, isolated from potato rhizosphere showed high phosphate-solubilizing efficiency, with solubilization index of 6.1 and 5.8, respectively, on modified Pikovskaya agar. The strain PRPSB10 solubilized 659.9, 202.0, and 113.7 μg ml−1 of tricalcium phosphate, rock phosphate, and iron phosphate, respectively, while the strain PRPSB38 solubilized 457.4, 187.9, and 80.0 μg ml −1 of the same substrates, respectively, after 5 days of incubation in NBRIP broth. Among the different cell protectants tested, 0.1% carboxymethyl cellulose (CMC) was found to be the best for B. licheniformis PRPSB10 while 5 mM trehalose was best suited for P. putida PRPSB38 maintaining the cell viability ~108 CFU ml−1 up to 1 year under ambient storage conditions. Two-year field evaluations of the liquid formulation in potato variety Kufri Pukhraj with different P dosages revealed a significant improvement in plant growth, phosphorus content, tuber yield and soil fertility over the respective control treatment with an average increase of 16.2% in yield over control. Economic analysis further indicated mean net returns of ₹44,876 ha−1 and an improved benefit-cost ratio of 2.52 compared with the uninoculated control. The results indicated that the developed liquid PSB formulation exhibited excellent stability, effectively enhanced yield and phosphorus availability highlighting its potential to be used as a liquid biofertilizer for improving potato productivity and maintaining soil health.
Bacillus licheniformisPseudomonas putidaliquid formulationphosphorus contentshelf lifeThe author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Science and Engineering Research Board, Department of Science and Technology, Government of India coordinated by the Federation of Indian Chambers of Commerce and Industry (FICCI) for the Prime Minister Research Fellowship (SERB/PM Fellowship/2022).section-at-acceptanceMicrobiotechnologyIntroduction
Potato (Solanum tuberosum L.), a member of the family Solanaceae, is a starchy and highly nutritious tuberous crop, commonly referred to as the “King of Vegetables.” Globally, it ranks third among food crops after wheat and rice, with Asia being the largest producer. India ranks second in production and third in terms of area under cultivation (Source: agropedia.iitk.ac.in). Major potato-producing states include Punjab, Uttar Pradesh, Bihar, Haryana, Assam, Madhya Pradesh, West Bengal, and Gujarat. In Punjab, potato is cultivated over approximately 117.06 thousand hectares, yielding an estimated 32.38 lakh tons during 2023–24, predominantly in Jalandhar, Hoshiarpur, Kapurthala, Ludhiana, Amritsar, Bathinda, and Fatehgarh Sahib districts (Anonymous, 2025).
Integrated nutrient management including the use of chemical fertilizers, organic inputs and biofertilizers is pivotal for achieving optimum potato productivity. While nitrogen and potassium uptake peaks during early growth (30–40 days post-emergence), phosphorus—the second most critical macronutrient after nitrogen, is indispensable throughout the crop cycle (Kaur et al., 2022). It regulates root and shoot development, energy transfer, starch synthesis and enzymatic activities, thereby enhancing tuber quality and dry matter accumulation (Vyas and Gulati, 2009; Kaur et al., 2022). As a structural component of nucleic acids, phospholipids, and ATP, phosphorus is integral to cell division, signal transduction, carbohydrate metabolism, photosynthesis, respiration, and overall plant development. Adequate P nutrition also accelerates early maturity, improves stress tolerance, and enhances produce quality.
Despite its importance, P availability is often limited (< 22.4 kg P ha−1) in nearly 50% of Punjab soils (Sharma et al., 2016), constraining crop productivity. Potato, being highly P-demanding, frequently requires fertilizer P applications exceeding 150 kg P2O5 ha−1 (Rosen et al., 2014). However, applied P is rapidly immobilized as insoluble Fe, Al, and Ca phosphates, resulting in fertilizer use efficiency rarely exceeding 30% (Ibrahim et al., 2022). Moreover, excessive P application poses environmental risks and relies on non-renewable phosphate rock, lead to be depleted within 50–100 years (Cordell et al., 2009).
Phosphate-solubilizing bacteria (PSB) are a group of beneficial bacteria which can hydrolyze organic and inorganic insoluble phosphate compounds into soluble P forms easily assimilated by plants (Li et al., 2025). These bacteria produce low molecular weight organic acids as well as phosphatases that release the soluble P which becomes available for plant absorption helping to reduce the P application in the form of inorganic fertilizers. Phosphate-solubilizing bacteria if supplemented with fertilizers can meet the high P demand of potato, thereby improving growth, yield and soil health.
Carrier-based inoculants have a limited shelf life, poor quality, high contamination and unpredictability in the field. A higher population of the desired microorganism, sufficient viability, and the ability to keep uncontaminated for an extended period, are all expected in high-quality biofertilizers. The advancements in inoculants technology are focused on enhancing quality, prolonging shelf life, and developing new formulations for usage in less favorable conditions. Additives/protectants including polymers (e.g. PVP, PEG, sodium alginate, gum arabic), adjuvants [e.g., carboxymethyl cellulose (CMC), xanthan gum, carrageenan], and surfactants (e.g., polysorbate 20, 40, 80) used in liquid inoculant formulations enhance the survival of bacterial inoculum in the field by protecting cells from abiotic stress and aiding their establishment in host plants (Allouzi et al., 2022). Trehalose (disaccharide) further improves microbial tolerance to desiccation, heat, and osmotic stress, while stabilizing enzymes and cell membranes (Kosar et al., 2019).
Effective PSB bioformulations require the use of compatible, well-characterized strains capable of synergistic activity in the rhizosphere. Looking into the importance of liquid formulations of plant growth-promoting and mineral-solubilizing bacteria, the present study was undertaken to develop a liquid phosphate-solubilizing bacterial (LPSB) formulation with enhanced shelf life for improved growth, yield and nutrient content of potato.
Materials and methodsPhosphate-solubilizing bacterial strains
Two efficient phosphate-solubilizing bacterial strains Bacillus licheniformis PRPSB10 (NCBI accession no. PV567726) and Pseudomonas putida PRPSB38 (NCBI accession no. PV567728) isolated from potato rhizosphere were obtained from the Department of Microbiology, Punjab Agricultural University, Ludhiana, India. The bacterial strains were purified using the quadrant streak method on nutrient agar and maintained on slants and stored in 30% (v/v) glycerol at temperature of −20 °C for further study.
Screening for phosphate solubilizationQualitative estimation of phosphate solubilization
Phosphate-solubilizing ability of the isolates was assessed on modified Pikovskayas agar containing 0.5% tricalcium phosphate (TCP) (Gupta et al., 1994). Fresh cultures were spot-inoculated and incubated at 28 °C for 5 days. Phosphate solubilization was indicated by yellow halos around the colonies (De Freitas et al., 1997), and the solubilization index was calculated from the ratio of total halo diameter (z) to colony diameter (c).
PhosphateSolubilizationIndex(SI)=zcQuantitative estimation of phosphate solubilization
Quantitative phosphate solubilization was assessed in NBRIP broth (Nautiyal, 1999) containing 0.5% of tricalcium phosphate, iron phosphate, and rock phosphate (RP). A 500 μl (~109 CFU ml−1) actively growing bacterial culture was inoculated into 50 ml broth and incubated at 28 °C on rotatory shaker at 120 rpm for 5 days. After incubation, cultures were centrifuged at 10,000 rpm for 10 min and soluble phosphate in the supernatant was estimated colorimetrically using Barton's reagent (Jackson, 1973). Absorbance was recorded at 430 nm and phosphate concentration (μg ml−1) was determined from a KH2PO4 standard curve. Uninoculated media containing phosphate substrates inoculated with 500 μl sterilized water and kept under similar conditions served as control.
Compatibility testing for PSB strains
Compatibility between Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 was evaluated using the cross-streak method on nutrient agar plates (Sundaramoorthy et al., 2012; Vyas et al., 2025). Uniform growth at the intersection indicated compatibility, while inhibition indicated antagonism.
Testing pathogenicity of the PSB strains
Pathogenicity of PSB strains was evaluated on blood agar base supplemented with 5% defibrinated sheep blood and incubated at 37 °C for 24–48 h. Clear zones around colonies indicated hemolytic activity, classified as α-partial or β-complete hemolysis (Cruickshank et al., 1975).
Testing shelf-life of liquid formulation(s)
Liquid formulations of B. licheniformis PRPSB10 and P. putida PRPSB38 were prepared by growing the strains separately in nutrient broth (NB) supplemented with three different concentrations of each cell protectants/additives. A 500 μl (~109 CFU ml−1) of actively growing bacterial culture was inoculated into 100 ml nutrient broth with and without amendments as given in Table 1.
Treatment details for the development of liquid formulation.
Treatment
Treatment details
T1
Charcoal-based bacterial inoculant
T2
Unamended NB
T3
NB with 0.5% polyethylene glycol (PEG) 6000
T4
NB with 1.0% PEG 6000
T5
NB with 1.5% PEG 6000
T6
NB with 0.1% carboxymethyl cellulose (CMC)
T7
NB with 0.3% CMC
T8
NB with 0.5% CMC
T9
NB with 2.5 mM trehalose
T10
NB with 5 mM trehalose
T11
NB with 7.5 mM trehalose
For the preparation of charcoal-based bacterial inoculant, the bacterial strains grown in NB for 48 h were mixed separately with sterilized charcoal in the ratio 1:2 and packed in polyethylene packets and packets sealed properly using an electric sealer. The flasks and the charcoal-based inoculant were kept at room temperature for a period of 400 days and the viability of the bacterial strains was monitored at monthly intervals by serial plate dilution method and plating on nutrient agar. Colony count was recorded as colony-forming units per milliliter (CFU ml−1) to assess long-term stability.
Evaluation of PSB formulation(s) on growth, soil quality, nutrient acquisition and yield of potato under field conditionsPreparation and application of liquid formulation of PSB (LPSBF)
Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 were cultured separately in 250 ml nutrient broth supplemented with 0.1% CMC and 5 mM trehalose, respectively, and incubated at 28 °C for 48 h (~1010 CFU ml−1). The formulations were diluted to 100 L of water to obtain 1.3 × 108 CFU ml−1. Uniformly sized potato tubers (25–35 mm) were dipped in the suspension for 30 min to achieve 3.2 × 106 CFU tuber−1, shade-dried and sown in the field. The treated tubers were then shade-dried and sown in the field as given in Figure 1.
Application of liquid formulation of phosphate-solubilizing bacteria.
Flowchart depicting the preparation and planting process of tuber seeds using phosphobacteria (PSB). The procedure involves mixing two PSB strains with water, resulting in a solution with a concentration of 1.3 x 10^8 CFU ml^-1. This is applied to tuber seeds, reaching 3.2 x 10^6 CFU per tuber. The seeds are dried in the shade, then sown in a field. The final image shows a field with rows of growing plants.Field trials
Field trials were conducted using the potato variety Kufri Pukhraj at the Experimental Farms of the Department of Soil Science, PAU, Ludhiana, Punjab, India during the 2022–23 and 2023–24 during rabi seasons. The liquid PSB formulation (LPSBF) was tested in comparison to an uninoculated control and a charcoal-based consortium biofertilizer (CCB) developed and recommended by Punjab Agricultural University for potato crop (Anonymous, 2025). The experiments were carried out in a Randomized Block Design with 12 treatments and three replications as given in Table 2.
Treatment details for field experiment.
Treatment
Treatment details
T1
NP0K + FYM
T2
NP0K + FYM + LPSBF
T3
NP0K + FYM + CCB
T4
NP75K + FYM
T5
NP75K + FYM + LPSBF
T6
NP75K + FYM + CCB
T7
NP100K + FYM
T8
NP100K + FYM + LPSBF
T9
NP100K + FYM + CCB
T10
NP100K
T11
NP100K + LPSBF
T12
NP100K + CCB
Farmyard manure (FYM) @494 q ha−1 (20 t acre−1) was incorporated into the treatments with FYM before sowing. The sowing was done on 20 October 2022 and 23 October 2023, maintaining a row spacing of 60 cm and plant-to-plant spacing of 20 cm as per PAU's recommended practices. Recommended doses of nutrients including 185 kg of N (407.7 kg of urea), 61.8 kg of P2O5 (382 kg of single superphosphate) and 61.8 kg of K2O (98.8 kg of muriate of potash) per hectare were applied as a basal dose through urea, single super phosphate and muriate of potash, respectively. The half dose of urea and full doses of SSP and MOP were applied at sowing as per treatments. Another half dose of urea was applied at the time of earthing-up after sowing (Anonymous, 2025).
Plant sample analysis
The data on plant growth parameters were recorded from 10 randomly selected plants in each replicate, and the mean values were estimated from three replicates. The haulm cutting was carried out manually during the second week of January and manually harvested in the last week of February during both the years. The data on emergence count was recorded at 15 days after sowing while all other parameters including shoot length, root length, fresh and dry weight, chlorophyll content, normalized difference vegetation index (NDVI), tuber number per plant, tuber yield, haulm (stem and leaves together) yield, nutrient content of haulm and tuber as well as soil parameters like pH, EC, organic carbon, available N, P, and K, microbial count, dehydrogenase and alkaline phosphatase were recorded at harvest. The tubers were graded into different size categories for yield assessment (Humagain et al., 2025).
Total phosphorus in plant samples and tubers were estimated using the vanado-molybdate yellow color method and total nitrogen was analyzed by the Kjeldahl method (Jackson, 1973). Potassium concentration in the filtrate was measured using a flame photometer (Model 1381).
Soil sample analysis
Soil samples were collected at the start of the experiment and at harvest for analysis. Soil pH and electrical conductivity were determined in a 1:2.5 soil-to-water suspension and soil organic carbon was estimated by the rapid titration method (Jackson, 1973). Total nitrogen in soil was analyzed by the Kjeldahl method (Jackson, 1973). Available phosphorus was determined using the sodium bicarbonate extraction method (Olsen, 1954) and available potassium were analyzed by flame photometry. Rhizospheric soil samples were serially diluted up to 10−7 and plated on nutrient agar, Kenknight agar, potato dextrose agar, Jensen's agar, and modified Pikovskaya's agar for the enumeration of bacteria, actinomycetes, fungi, diazotrophs, and phosphate solubilizers, respectively.
Alkaline phosphatase activity was determined using the method described by Tabatabai and Bremner (1969). One gram of soil was placed in an Erlenmeyer flask, followed by the addition of 0.2 ml of toluene, 4 ml of modified universal buffer (pH 11 for alkaline phosphatase and pH 6.5 for acid phosphatase), and 1 ml of p-nitrophenyl phosphate (pNP) solution. The mixture was swirled briefly and incubated at 37 °C for 1 h. After incubation, 1 ml of 0.5 M CaCl2 and 4 ml of 0.5 M NaOH were added and mixed thoroughly. The soil suspension was then filtered using Whatman No. 1 filter paper, and the intensity of the yellow color in the filtrate was measured using a colorimeter at 405 nm. The values were expressed as μmol L−1 g−1 soil h−1 after calculating from the regression equation generated from the standard curve prepared from p-nitrophenol (pNP) standard solution.
Dehydrogenase activity was measured using the method described by Casida et al. (1964). One gram of soil was added to a 15 ml screw-cap test tube, along with 0.2 ml of 3% (w/v) Triphenyl tetrazolium chloride (TTC) and 0.5 ml of 1% (w/v) glucose. The contents were thoroughly mixed and incubated at 28 °C for 24 h. Following incubation, 10 ml of methanol was added, and the contents were mixed for 1 min. The tubes were then refrigerated for 3 h. The production of triphenyl formazan (TPF) was quantified by measuring absorbance at 485 nm after centrifugation. Dehydrogenase activity was calculated as μg of TPF per gram of soil per hour using the following formula:
The experiments were laid out in a randomized block design with three replicates unless stated. The data were analyzed using two-way ANOVA with Tukey's-b post hoc test at 95% confidence intervals. Statistical analyses were performed using Statistix 10 software.
ResultsScreening for phosphate solubilization
Two phosphate-solubilizing bacterial strains Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 isolated from potato rhizosphere and procured from the culture repository of the Department of Microbiology, Punjab Agricultural University, Ludhiana were tested for their phosphate-solubilizing ability (Figure 2). The strains PRPSB10 and PRPSB38 exhibited tricalcium phosphate solubilization index (PSI) of 6.1 and 5.8, respectively, on modified Pikovskaya (PVK) agar on fifth day of incubation (Figure 2).
(A, B) Purified bacterial colonies on nutrient agar medium; (C, D) Qualitative screening of phosphate-solubilizing bacteria on modified Pikovskayas agar; (E) Compatibility testing of strains on nutrient agar by cross-streaked method; and (F) screening of phosphate-solubilizing bacteria for pathogenicity on blood agar.
Petri dishes labeled A to F with bacterial cultures. A and B show streaks labeled PRPSB 38 and PRPSB 10. C and D display colonies of PRPSB 10 and PRPSB38 with clear zone of phosphate solubilization. E features a compatibility between the strains by cross-streak method. F shows non hemolytic growth of PRPSB10 and PRPSB38 on blood agar in comparison to hemolytic growth of positive controls.
Quantitative estimation in NBRIP broth revealed that both strains solubilized tricalcium phosphate (TCP), rock phosphate (RP), and Fe3(PO4)2, with TCP being the most efficiently solubilized substrate. The strain PRPSB10 solubilized 659.9, 202.0, and 113.7 μg ml−1 of TCP, RP, and Fe3(PO4)2, respectively, whereas PRPSB38 solubilized 457.4, 187.9, and 80.0 μg ml−1 of the same substrates, respectively, in NBRIP broth on fifth day of incubation. The results indicated that both the strains have retained their ability of solubilizing phosphate substrates.
Testing compatibility and pathogenicity of strains
To develop an effective bacterial bioformulation, it is essential to ensure the compatibility of the selected cultures. The compatibility between the PRPSB10 and PRPSB38 evaluated using the cross-streak method indicated that both the bacteria were able to grow with one another without exhibiting any signs of inhibition at the points of intersection along their streak lines, indicating that they were mutually compatible (Figure 2).
The strains did not show any zones of inhibition on blood agar, however the positive controls showed the zone of hemolysis on blood agar, indicating the non-pathogenic nature of the strains (Figure 2).
Development and testing shelf life of liquid formulation
The effect of three different cell protectants/additives, including trehalose, carboxymethyl cellulose (CMC), and polyethylene glycol (PEG) 6000, at three different concentrations was assessed on the viable cell count of the PRPSB10 and PRPSB38 over a storage period of 400 days.
Formulation of Bacillus licheniformis (Bl) PRPSB<sub>10</sub>
Among the three concentrations of trehalose, 2.5 mM trehalose showed the highest viable count of 2.40 × 109 CFU ml−1 after 48 h incubation, with the count gradually declining to 3.89 × 106 CFU ml−1 after 365 days of storage (Figure 3). Likewise, at 5 mM and 7.5 mM concentrations of trehalose, the viable counts found after 365 days storage period were 5.50 × 105 CFU ml−1 and 2.09 × 105 CFU ml−1, respectively.
Viable count of phosphate-solubilizing Bacillus licheniformis PRPSB10(A) and Pseudomonas putida PRPSB38(B) in nutrient broth with different additives over a storage period of 400 days in comparison to charcoal-based formulation and unamended nutrient broth. Values are the mean of three replicates. Values in the bars represent Log10 CFU ml−1. PEG polyethylene glycol; CMC carboxymethyl cellulose.
Bar charts labeled A and B display treatment effectiveness over time. Both charts show multiple treatment types, including charcoal-based formulation, nutrient broth, PEG 6000, CMC, and Trehalose, tracked across various time periods from twenty-four hours to four hundred days. Bars are color-coded by time period, revealing patterns of treatment stability or degradation over time. Chart A and B differ in values for each treatment and time period, with numeric values labeled within each segment.
Similarly, among the three CMC concentrations, the highest viable count of Bl PRPSB10 was recorded at 0.1% concentration with the count increasing from 1.74 × 108 at 24 h incubation to 6.31 × 1010 CFU ml−1 at 48 h incubation and then gradually reducing to 1.05 × 108 CFU ml−1 after 1 year (Figures 3, 4). Similarly, at 0.3 and 0.5 concentrations of CMC, the count declined to 4.79 × 106 CFU ml−1 and 2.09 × 106 CFU ml−1 at 365 days, respectively, from the counts of 1.17 × 109 CFU ml−1 and 2.63 × 109 CFU ml−1, respectively, recorded at 48 h.
Viable count of phosphate-solubilizing Bacillus licheniformis PRPSB10 grown in nutrient broth amended with 0.1% carboxymethyl cellulose (A) and Pseudomonas putida PRPSB38 grown in nutrient broth with 5 mM trehalose (B) over a storage period of 365 days.
Petri dish comparison over time, labeled A and B. Each series displays bacterial growth from 48 hours to 365 days. Dishes show varying colony densities, with counts noted as ten to the sixth or tenth to the seventh power, indicating concentration.
Likewise, among the PEG concentrations, the highest viable count observed in 0.5% PEG 6000 was 2.75 × 1010 CFU ml−1 after 48 h storage, which reduced to 1.62 × 105 CFU ml−1 after 365 days of storage period (Figure 3). The viable counts observed at 1% PEG 6000 was 5.5 × 109 CFU ml−1 after 48 h storage which declined to 1.6 × 105 CFU ml−1 after 365 days, while the viable count in 1.5% PEG was found to be 7.24 × 109 CFU ml−1 after 48 h reducing to 1.20 × 105 CFU ml−1 after 365 days of storage.
The minimum count was recorded in the nutrient broth without any amendments. The highest viable count of BlPRPSB10 in nutrient broth was found to be 2.69 × 108 CFU ml−1 after 48 h of storage, which declined to 2.09 × 105 CFU ml−1 at 60 days. Similarly, the viable count of BlPRPSB10 in charcoal-based formulation was 1.38 × 108 CFU ml−1 at 24 h, which reduced to 1.58 × 105 CFU ml−1 by 180 days.
These results indicated that 0.1% CMC was the most effective additive for maintaining the long-term viability of BlPRPSB10 in liquid formulation.
Formulation of Pseudomonas putida (Pp) PRPSB<sub>38</sub>
Among the different concentrations of trehalose tested, the highest viable count of Pp PRPSB38 was observed at 5 mM concentration with the count increasing from 5.24 × 109 at 24 h incubation to a maximum count of 7.94 × 1010 CFU ml−1 at 48 h incubation and then gradually decreasing to 6.17 × 107 CFU ml−1 after 1 year storage (Figures 3, 4). At 2.5 mM trehalose concentration, the maximum viable count of 7.24 × 109 CFU ml−1 was observed at 48 h storage which reduced to 2.09 × 106 CFU ml−1 after 1 year. In the case of 7.5 mM trehalose, the count decreased to 2.09 × 105 CFU ml−1 after 1 year of storage from a maximum count of 3.38 × 109 CFU ml−1 after 48 h storage.
Similarly, within the different concentrations of CMC tested, 0.1% concentration supported the highest viable count of 3.63 × 109 CFU ml−1 after 48 h, which gradually declined to 1.26 × 106 CFU ml−1 after 1 year (Figure 3). At 0.3% and 0.5% CMC concentrations, the viable counts reduced to 3.80 × 105 CFU ml−1 and 1.55 × 105 CFU ml−1, respectively, after 365 days from the counts of 1.48 × 109 CFU ml−1 and 7.76 × 108 CFU ml−1, respectively, after 48 h storage.
Likewise, among the PEG concentrations, 0.5% resulted in the highest viable count of 7.41 × 109 CFU ml−1 after 48 h, which reduced to 3.09 × 105 CFU ml−1 after 1 year of storage. The viable counts at 1% and 1.5% PEG were 6.76 × 109 CFU ml−1 and 2.57 × 109 CFU ml−1 after 48 h which declined to 1.48 × 105 CFU ml−1 and 1.23 × 105 CFU ml−1, respectively, after 1 year of storage.
The minimum viable count of PpPRPSB38 was observed in the nutrient broth without any additives with the highest viable count recorded to 7.76 × 108 CFU ml−1 after 48 h of storage, which reduced to 7.08 × 105 CFU ml−1 at 60 days. Likewise, the viable count of PpPRPSB38 in charcoal-based biofertilizer was 6.92 × 108 CFU ml−1 at 24 h, which declined to 3.89 × 105 CFU ml−1 by 180 days.
These results indicated that 5 mM trehalose was the best additive for maintaining the long-term viability of PpPRPSB38 in liquid formulation.
Evaluation of efficacy of PSB formulation in potato under field conditions
The efficacy of the liquid formulations of BlPRPSB10 and PpPRPSB38 (LPSBF) was assessed in potato under field conditions for two consecutive years in comparison to a charcoal-based consortium biofertilizer (CCB) recommended for potato by PAU (Anonymous, 2025) with and without farmyard manure (FYM) and 0%, 75%, and 100% dosage of P fertilizer (Figure 5). The climatic conditions of 2022–23 and 2023–24 at which the field trials were conducted are presented in Table 3.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on potato in the year 2022–23 (A) and 2023–24 (B).
Image showing twelve sets of potato plants under different fertilizer treatments arranged in two sections. Section A and B both display six treatments each, labeled T1 to T12. Each set showcases varying growth and tuber development, with treatments including FYM, LPSBF, and CCB, with and without farmyard manure.
Climatic conditions during conduct of the field experiment.
Year
Temperature (°C)
RH (%)
Rainfall
Sunshine (h)
Max
Min
Mean
Morning
Evening
Mean
mm
Days
2022–23
October
31.3
18.8
25.1
87
43
65
5.4
2
7.6
November
26.8
12.2
19.5
89
36
63
0
0
7.5
December
20.2
7.6
13.9
93
51
72
0.6
0
5.4
January
16.5
6.6
11.5
92
59
75
32.1
2
3.8
February
24.7
10.3
17.5
89
43
66
2.8
1
7.7
2023–24
October
29.9
15.8
22.9
90
37
63
0
0
8.5
November
26.2
13.1
19.7
91
45
68
28.6
2
5.4
December
20.6
7.8
19.2
94
52
73
0
0
5.8
January
13.6
6.0
9.8
94
72
83
16.4
2
1.3
February
21.2
8.3
14.7
89
46
67
20.0
1
7.2
Growth parameters
The liquid PSB formulation improved the growth parameters, nutrient content, yield parameters and soil available nutrients and enzymatic activities (Tables 4–10). The emergence count was improved, though the improvement was found to be non-significant compared to the uninoculated control treatments (Table 4). The emergence (%) ranged from 94.9 to 98.8% in the year 2022–23 and 95.2 to 99.1% during the year 2023–24 with the highest emergence recorded with the treatment T8 (NP100K + FYM + LPSBF), followed by T9 (NP100K + FYM + CCB), T7 (NP100K + FYM) and T5 (NP75K + FYM + LPSBF).
Effect of liquid formulation of phosphate-solubilizing Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on growth of potato variety.
Treatment
Emergence count (%)
Shoot length (cm)
Root length (cm)
Fresh weight (g plant−1)
Dry weight (g plant−1)
15 days after sowing
120 days after sowing
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
T1
NP0K + FYM
94.9 ± 1.67
95.2 ± 1.94
95.0a
42.8 ± 0.2
48.0 ± 0.3
45.4f
14.5 ± 0.1
15.5 ± 0.1
15.0h
167.4 ± 0.5
168.6 ± 0.7
168.0j
8.2 ± 0.4
9.7 ± 0.3
8.9i
T2
NP0K + FYM + LPSBF
95.7 ± 0.94
95.9 ± 1.30
95.8a
47.2 ± 0.2
48.8 ± 0.6
48.0f
15.2 ± 0.1
16.0 ± 0.3
15.6fgh
180.3 ± 0.3
184.9 ± 0.8
182.7h
10.1 ± 0.2
12.5 ± 0.1
11.3gh
T3
NP0K + FYM + CCB
95.2 ± 1.01
95.3 ± 1.21
95.2a
45.7 ± 0.5
48.3 ± 0.2
47.0f
14.9 ± 0.1
15.9 ± 0.1
15.4gh
176.8 ± 0.4
180.2 ± 0.8
178.5i
9.7 ± 0.2
11.2 ± 0.1
10.5h
T4
NP75K + FYM
95.1 ± 0.89
97.8 ± 1.41
96.4a
52.9 ± 0.1
60.1 ± 0.1
56.5d
15.3 ± 0.3
17.2 ± 0.01
16.1ef
210.0 ± 0.8
213.0 ± 0.4
211.5e
13.4 ± 0.2
15.9 ± 0.3
14.6e
T5
NP75K + FYM + LPSBF
96.3 ± 1.10
97.9 ± 1.71
97.1a
56.1 ± 0.5
60.1 ± 1.4
58.1c
16.4 ± 0.1
21.0 ± 0.5
18.7c
220.1 ± 0.6
223.1 ± 0.2
221.6d
15.2 ± 0.3
16.3 ± 0.2
15.8d
T6
NP75K + FYM + CCB
95.5 ± 0.37
97.9 ± 1.50
96.7a
54.6 ± 0.8
60.4 ± 0.5
57.0d
17.5 ± 0.3
18.1 ± 0.1
17.8d
213.4 ± 0.4
217.6 ± 0.5
215.5d
15.4 ± 0.4
16.7 ± 0.3
16.1cd
T7
NP100K + FYM
97.1 ± 0.91
98.1 ± 1.21
97.6a
56.7 ± 0.1
63.3 ± 1.7
60.0bc
17.9 ± 0.3
23.0 ± 0.2
20.5b
237.3 ± 0.6
242.1 ± 0.8
239.7c
16.1 ± 0.1
18.0 ± 0.2
17.0bc
T8
NP100K + FYM + LPSBF
98.8 ± 0.55
99.1 ± 1.89
98.9a
65.2 ± 0.5
66.8 ± 1.1
66.0a
20.0 ± 0.4
24.0 ± 0.1
22.0a
265.0 ± 0.9
270.0 ± 0.7
267.5a
19.2 ± 0.2
19.9 ± 0.3
19.5a
T9
NP100K + FYM + CCB
97.4 ± 0.04
98.3 ± 0.04
97.8a
58.6 ± 1.2
64.4 ± 1.4
61.5b
19.3 ± 0.1
22.0 ± 0.5
20.6b
244.9 ± 0.3
250.1 ± 0.5
247.5b
16.8 ± 0.3
17.4 ± 0.2
17.1b
T10
NP100K without FYM
95.3 ± 0.08
96.6 ± 1.15
95.9a
49.7 ± 0.9
54.3 ± 0.5
52.0e
15.1 ± 0.3
17.0 ± 0.1
16.1efg
186.3 ± 0.6
189.1 ± 0.6
187.7g
11.1 ± 0.3
12.5 ± 0.7
11.8fg
T11
NP100K + LPSBF without FYM
96.1 ± 0.90
97.8 ± 1.95
96.9a
55.3 ± 0.1
59.7 ± 0.9
57.5cd
15.5 ± 0.3
18.0 ± 0.2
16.7e
207.9 ± 0.8
211.1 ± 0.3
209.5e
12.2 ± 0.1
15.3 ± 0.3
13.7e
T12
NP100K + CCB without FYM
95.9 ± 1.63
97.2 ± 0.74
96.5a
54.3 ± 0.3
57.7 ± 1.4
56.0d
15.7 ± 0.1
17.6 ± 0.2
16.6e
193.5 ± 0.5
199.5 ± 0.4
196.5f
12.2 ± 0.4
12.8 ± 0.3
12.5f
Mean
96.1A
97.3A
53.3B
57.7A
16.5B
18.8A
208.6B
212.4A
13.3B
14.8A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates with 10 plants each. Values with different letters in a column differ significantly from one another with two-way ANOVA post hoc Tukey's-b test at p ≤ 0.05.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on growth and yield parameters potato grown in fields at harvest.
Treatment
Chlorophyll content (SPAD value)
NDVI
Tuber number plant−1
Tuber yield (q ha−1)
Haulm yield (q ha−1)
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
T1
NP0K + FYM
42.8 ± 0.9
43.2 ± 0.3
43.0e
0.61
0.64
0.63b
5.0 ± 0.07
7.0 ± 0.13
6.0i
237.5 ± 0.41
245.5 ± 0.58
241h
178.0 ± 0.04
182.0 ± 0.28
180.0f
T2
NP0K + FYM + LPSBF
47.2 ± 0.4
47.5 ± 0.3
47.3d
0.66
0.74
0.70b
7.0 ± 0.01
9.0 ± 0.08
8.0g
261.0 ± 0.55
273.0 ± 0.66
267d
213.0 ± 0.30
213.5 ± 0.39
213.3d
T3
NP0K + FYM + CCB
44.0 ± 0.1
44.5 ± 0.4
44.2e
0.65
0.66
0.66b
7.0 ± 0.11
8.0 ± 0.17
7.5h
252.5 ± 0.28
257.5 ± 0.30
255d
194.0 ± 0.20
196.5 ± 0.25
195.3e
T4
NP75K + FYM
50.8 ± 0.5
51.1 ± 0.1
50.9bc
0.85
0.87
0.86a
9.0 ± 0.03
10.0 ± 0.23
9.5de
301.5 ± 0.96
313.0 ± 0.15
307g
216.0 ± 0.16
216.5 ± 0.37
216.3cd
T5
NP75K + FYM + LPSBF
51.6 ± 0.4
52.1 ± 0.6
51.3abc
0.93
0.95
0.94a
9.9 ± 0.22
10.7 ± 0.05
10.3c
308.5 ± 0.43
318.0 ± 0.42
313cd
217.5 ± 0.30
221.5 ± 0.09
219.5c
T6
NP75K + FYM + CCB
51.1 ± 0.5
51.3 ± 0.8
51.2abc
0.89
0.91
0.90a
9.0 ± 0.06
11.0 ± 0.13
10.0cd
305.8 ± 0.74
314.8 ± 0.82
310cd
214.5 ± 0.35
220.5 ± 0.40
217.5cd
T7
NP100K + FYM
51.3 ± 0.6
51.9 ± 0.9
51.6abc
0.94
0.95
0.95a
11.0 ± 0.13
110 ± 0.24
11.0b
346.5 ± 0.74
355.5 ± 0.82
351b
221.5 ± 0.07
223.5 ± 0.25
222.5b
T8
NP100K + FYM + LPSBF
53.3 ± 0.2
53.9 ± 0.8
53.6a
0.93
0.98
0.96a
12.0 ± 0.17
13.0 ± 0.28
12.5a
396.5 ± 0.81
420.0 ± 1.25
408a
228.5 ± 0.41
232.5 ± 0.08
230.5a
T9
NP100K + FYM + CCB
52.1 ± 0.1
53.1 ± 0.3
52.6ab
0.9
0.96
0.93a
11.0 ± 0.20
12.0 ± 0.19
11.5b
376.0 ± 0.12
384.0 ± 1.11
380a
226.0 ± 0.24
227.0 ± 0.16
226.5ab
T10
NP100K without FYM
49.3 ± 0.6
49.4 ± 0.6
49.3cd
0.75
0.8
0.78a
7.0 ± 0.04
9.0 ± 0.02
8.0gh
297.5 ± 0.12
310.0 ± 0.67
303de
216.0 ± 0.18
210.5 ± 0.44
213.3d
T11
NP100K + LPSBF without FYM
49.6 ± 0.4
50.02 ± 0.3
49.8cd
0.83
0.81
0.82a
8.0 ± 0.02
10.0 ± 0.18
9.0ef
300.8 ± 0.11
312.3 ± 0.17
306d
218.0 ± 0.10
213.0 ± 0.03
215.5cd
T12
NP100K + CCB without FYM
49.5 ± 0.3
49.8 ± 0.4
49.6cd
0.79
0.8
0.80a
8.0 ± 0.19
9.0 ± 0.11
8.5fg
298.8 ± 0.71
310.3 ± 0.82
304de
214.5 ± 0.32
214.0 ± 0.30
214.3d
Mean
49.2A
49.7A
0.81A
0.84A
8.74B
9.98A
307B
318A
213.1B
214.2A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates with 10 plants each. Values with different letters in a column differ significantly from one another with two-way ANOVA post hoc Tukey's-b test at p ≤ 0.05.
NDVI, Normalized difference vegetation index; CCB, charcoal-based consortium biofertilizer; LPSBF, liquid phosphate-solubilizing bacterial formulation. One q = 100 kg.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on grading of potato grown in fields at harvest.
Treatment
Yield (q ha−1)
Tuber size 25–35 mm
Tuber size 45–55 mm
Tuber size >55 mm
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
T1
NP0K + FYM
50.8 ± 0.01
51.5 ± 0.04
51.1e
57.7 ± 0.01
59.7 ± 0.08
58.7d
129.1 ± 0.25
134.7 ± 0.27
131.9f
T2
NP0K + FYM + LPSBF
57.8 ± 0.01
60.1 ± 0.02
58.9d
65.1 ± 0.01
60.0 ± 0.08
62.5d
138.1 ± 0.44
149.9 ± 0.47
144.1e
T3
NP0K + FYM + CCB
53.1 ± 0.04
54.1 ± 0.04
53.6e
62.3 ± 0.03
59.9 ± 0.05
61.1d
137.3 ± 0.06
143.7 ± 0.13
140.5ef
T4
NP75K + FYM
48.8 ± 0.06
52.2 ± 0.08
50.5e
81.5 ± 0.17
83.7 ± 0.2
82.6bc
168.5 ± 0.07
170.5 ± 0.48
169.5d
T5
NP75K + FYM + LPSBF
53.8 ± 0.15
56.2 ± 0.09
55.0de
86.2 ± 0.24
91.2 ± 0.18
88.7ab
171.2 ± 0.58
177.0 ± 0.24
174.1cd
T6
NP75K + FYM + CCB
51.0 ± 0.03
54.7 ± 0.16
52.8e
82.5 ± 0.12
80.2 ± 0.19
81.3bc
172.2 ± 0.62
179.7 ± 0.58
176.0cd
T7
NP100K + FYM
77.7 ± 0.07
80.9 ± 0.10
79.3b
87.7 ± 0.07
88.1 ± 0.01
87.9ab
182.7 ± 0.31
200.7 ± 0.46
191.7bc
T8
NP100K + FYM + LPSBF
80.7 ± 0.15
91.3 ± 0.21
86.1a
84.2 ± 0.1
98.5 ± 0.04
91.4a
220.7 ± 0.54
209.7 ± 0.28
215.2a
T9
NP100K + FYM + CCB
79.2 ± 0.13
88.5 ± 0.19
83.9a
83.9 ± 0.07
97.8 ± 0.16
90.9a
213.1 ± 0.55
197.9 ± 0.57
205.5ab
T10
NP100K without FYM
40.5 ± 0.05
42.5 ± 0.05
41.5f
72.0 ± 0.05
77.5 ± 0.05
74.7c
177.5 ± 0.46
188.0 ± 0.64
182.7c
T11
NP100K + LPSBF without FYM
45.2 ± 0.01
50.5 ± 0.04
47.8ef
78.0 ± 0.18
73.7 ± 0.14
75.8c
185.0 ± 0.13
190.0 ± 0.14
187.5c
T12
NP100K + CCB without FYM
43.2 ± 0.11
46.2 ± 0.05
44.7f
72.5 ± 0.03
75.0 ± 0.01
73.7c
183.0 ± 0.17
189.0 ± 0.7
186.0c
Mean
56.8A
60.8A
76.2B
78.8A
173.2B
177.6A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates. Values with different letters in a column differ significantly from one another with two-way ANOVA post hoc Tukey's-b test at p ≤ 0.05.
CCB, charcoal-based consortium biofertilizer; LPSBF, liquid phosphate-solubilizing bacterial formulation. One q = 100 kg.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on nutrient content of haulm and tuber of potato grown in field at harvest.
Treatment
N
P
K
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
Nutrient content of tuber (%)
T1
NP0K + FYM
1.40 ± 0.022
1.42 ± 0.036
1.41e
0.25 ± 0.006
0.26 ± 0.003
0.25i
1.45 ± 0.029
1.47 ± 0.013
1.46d
T2
NP0K + FYM + LPSBF
1.43 ± 0.026
1.49 ± 0.031
1.46de
0.29 ± 0.004
0.31 ± 0.005
0.30gh
1.49 ± 0.012
1.50 ± 0.025
1.50cd
T3
NP0K + FYM + CCB
1.45 ± 0.008
1.46 ± 0.011
1.45de
0.29 ± 0.004
0.28 ± 0.007
0.29h
1.48 ± 0.002
1.49 ± 0.018
1.49cd
T4
NP75K + FYM
1.45 ± 0.002
1.53 ± 0.005
1.49d
0.38 ± 0.003
0.39 ± 0.002
0.38e
1.51 ± 0.031
1.52 ± 0.014
1.52cd
T5
NP75K + FYM + LPSBF
1.52 ± 0.002
1.53 ± 0.024
1.53cd
0.42 ± 0.001
0.45 ± 0.001
0.43c
1.54 ± 0.035
1.55 ± 0.035
1.55bc
T6
NP75K + FYM + CCB
1.51 ± 0.039
1.53 ± 0.029
1.52cd
0.40 ± 0.003
0.42 ± 0.003
0.41d
1.54 ± 0.010
1.55 ± 0.005
1.55bc
T7
NP100K + FYM
1.56 ± 0.002
1.59 ± 0.007
1.58bc
0.44 ± 0.005
0.45 ± 0.011
0.44c
1.55 ± 0.012
1.56 ± 0.027
1.56bc
T8
NP100K + FYM + LPSBF
1.67 ± 0.041
1.68 ± 0.003
1.68a
0.51 ± 0.001
0.53 ± 0.010
0.52a
1.65 ± 0.035
1.67 ± 0.002
1.66a
T9
NP100K + FYM + CCB
1.59 ± 0.002
1.61 ± 0.026
1.60b
0.49 ± 0.005
0.50 ± 0.012
0.50b
1.60 ± 0.036
1.61 ± 0.035
1.61ab
T10
NP100K without FYM
1.48 ± 0.025
1.47 ± 0.007
1.48de
0.31 ± 0.005
0.33 ± 0.008
0.32fg
1.50 ± 0.012
1.51 ± 0.030
1.51cd
T11
NP100K + LPSBF without FYM
1.49 ± 0.022
1.50 ± 0.006
1.50d
0.32 ± 0.003
0.34 ± 0.007
0.33f
1.54 ± 0.015
1.52 ± 0.032
1.53bcd
T12
NP100K + CCB without FYM
1.48 ± 0.012
1.49 ± 0.006
1.49d
0.32 ± 0.007
0.32 ± 0.006
0.32fg
1.51 ± 0.004
1.52 ± 0.019
1.52cd
Mean
1.50A
1.52A
0.37B
0.38A
1.53A
1.54A
Nutrient content of haulm (%)
T1
NP0K + FYM
1.04 ± 0.01
1.05 ± 0.01
1.05f
0.15 ± 0.003
0.18 ± 0.006
0.17h
1.2 ± 0.017
1.24 ± 0.02
1.22h
T2
NP0K + FYM + LPSBF
1.07 ± 0.02
1.08 ± 0.01
1.08ef
0.21 ± 0.001
0.22 ± 0.005
0.22f
1.36 ± 0.001
1.37 ± 0.022
1.37fg
T3
NP0K + FYM + CCB
1.05 ± 0.02
1.06 ± 0.03
1.06f
0.21 ± 0.002
0.19 ± 0.004
0.20g
1.32 ± 0.024
1.28 ± 0.021
1.30g
T4
NP75K + FYM
1.15 ± 0.03
1.17 ± 0.03
1.16cd
0.29 ± 0.007
0.30 ± 0.006
0.30c
1.45 ± 0.016
1.49 ± 0.032
1.47cd
T5
NP75K + FYM + LPSBF
1.19 ± 0.03
1.21 ± 0.01
1.20bc
0.30 ± 0.005
0.31 ± 0.004
0.31c
1.49 ± 0.003
1.53 ± 0.013
1.51bcd
T6
NP75K + FYM + CCB
1.15 ± 0.03
1.16 ± 0.01
1.16cd
0.30 ± 0.003
0.31 ± 0.001
0.31c
1.49 ± 0.013
1.51 ± 0.01
1.50bcd
T7
NP100K + FYM
1.21 ± 0.02
1.23 ± 0.01
1.22b
0.31 ± 0.002
0.32 ± 0.005
0.32c
1.51 ± 0.014
1.53 ± 0.007
1.52bc
T8
NP100K + FYM + LPSBF
1.28 ± 0.01
1.29 ± 0.01
1.29a
0.38 ± 0.007
0.39 ± 0.008
0.39a
1.68 ± 0.039
1.7 ± 0.019
1.69a
T9
NP100K + FYM + CCB
1.24 ± 0.03
1.26 ± 0.01
1.25ab
0.32 ± 0.001
0.34 ± 0.002
0.33b
1.55 ± 0.036
1.60 ± 0.016
1.58b
T10
NP100K without FYM
1.08 ± 0.02
1.09 ± 0.01
1.09ef
0.23 ± 0.003
0.25 ± 0.003
0.24f
1.37 ± 0.017
1.41 ± 0.034
1.39ef
T11
NP100K + LPSBF without FYM
1.12 ± 0.01
1.14 ± 0.01
1.13de
0.27 ± 0.003
0.29 ± 0.002
0.28d
1.43 ± 0.013
1.47 ± 0.002
1.45cde
T12
NP100K + CCB without FYM
1.09 ± 0.01
1.10 ± 0.01
1.10ef
0.26 ± 0.006
0.27 ± 0.004
0.27e
1.43 ± 0.028
1.45 ± 0.037
1.44def
1.14A
1.15A
0.27A
0.27A
1.46A
1.45A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates. Values with different letters in a column differ significantly from one another with two-way ANOVA post hoc Tukey's-b test at p ≤ 0.0.5.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on soil parameters of potato at harvest in field.
Treatment
pH
EC (dS m−1)
Organic carbon (%)
Available N (kg ha−1)
Available P (kg ha−1)
Available K (kg ha−1)
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
T1
NP0K + FYM
7.45 ± 0.05
7.94 ± 0.08
7.69a
0.247 ± 0.002
0.267 ± 0.002
0.257a
0.41 ± 0.001
0.42 ± 0.002
0.42c
166.9 ± 0.4
167.1 ± 1.3
167.0d
16.5 ± 0.22
17.9 ± 0.01
17.2e
169.7 ± 1.67
170.1 ± 0.60
169.90c
T2
NP0K + FYM + LPSBF
7.40 ± 0.08
7.92 ± 0.07
7.66a
0.249 ± 0.005
0.271 ± 0.001
0.260a
0.42 ± 0.003
0.43 ± 0.002
0.43b
168.9 ± 1.5
169.9 ± 1.1
169.4d
17.8 ± 0.09
18.8 ± 0.19
18.3de
170.9 ± 0.58
171.6 ± 0.44
171.25c
T3
NP0K + FYM + CCB
7.43 ± 0.12
7.91 ± 0.08
7.67a
0.248 ± 0.004
0.268 ± 0.005
0.258a
0.42 ± 0.002
0.43 ± 0.005
0.43b
168.2 ± 1.3
169.8 ± 0.6
169.0d
17.5 ± 0.13
18.4 ± 0.19
18.0de
170.4 ± 1.34
171.0 ± 1.08
170.70c
T4
NP75K + FYM
7.43 ± 0.15
7.93 ± 0.09
7.68a
0.248 ± 0.002
0.268 ± 0.005
0.258a
0.43 ± 0.002
0.44 ± 0.003
0.44a
180.5 ± 1.1
181.2 ± 1.8
180.8c
19.7 ± 0.15
22.9 ± 0.38
21.3c
183.8 ± 2.23
184.9 ± 1.34
184.35ab
T5
NP75K + FYM + LPSBF
7.41 ± 0.06
7.84 ± 0.02
7.63a
0.251 ± 0.004
0.272 ± 0.001
0.262a
0.44 ± 0.005
0.45 ± 0.006
0.45a
182.4 ± 0.3
182.9 ± 1.4
182.6abc
21.8 ± 0.22
23.7 ± 0.22
22.8b
185.2 ± 1.21
185.3 ± 1.64
185.25ab
T6
NP75K + FYM + CCB
7.42 ± 0.01
7.83 ± 0.13
7.63a
0.248 ± 0.01
0.269 ± 0.002
0.258a
0.43 ± 0.004
0.44 ± 0.005
0.44a
181.7 ± 1.0
182.9 ± 1.6
182.3abc
21.1 ± 0.41
22.4 ± 0.23
21.8c
183.8 ± 0.94
185.2 ± 1.24
184.52ab
T7
NP100K + FYM
7.42 ± 0.11
7.91 ± 0.16
7.67a
0.253 ± 0.004
0.269 ± 0.005
0.261a
0.44 ± 0.007
0.45 ± 0.002
0.45a
183.5 ± 1.2
184.4 ± 1.3
183.9ab
21.9 ± 0.33
23.9 ± 0.31
22.9b
185.3 ± 0.58
186.8 ± 1.58
186.05ab
T8
NP100K + FYM + LPSBF
7.39 ± 0.12
7.89 ± 0.14
7.64a
0.252 ± 0.005
0.272 ± 0.004
0.262a
0.45 ± 0.005
0.46 ± 0.01
0.46a
185.5 ± 1.5
189.2 ± 1.3
187.3a
23.8 ± 0.28
26.7 ± 0.19
25.2a
187.6 ± 0.96
189.9 ± 1.86
188.75a
T9
NP100K + FYM + CCB
7.41 ± 0.06
7.90 ± 0.02
7.65a
0.251 ± 0.004
0.270 ± 0.005
0.260a
0.44 ± 0.008
0.45 ± 0.009
0.45a
183.3 ± 1.3
185.4 ± 0.4
184.3ab
22.1 ± 0.41
25.9 ± 0.46
24.0b
185.8 ± 1.40
186.9 ± 1.74
186.35ab
T10
NP100K without FYM
7.42 ± 0.10
7.89 ± 0.08
7.65a
0.249 ± 0.003
0.268 ± 0.004
0.258a
0.34 ± 0.001
0.36 ± 0.009
0.35e
168.8 ± 1.6
170.5 ± 1.9
169.6d
17.9 ± 0.35
19.3 ± 0.22
18.6d
172.9 ± 1.11
173.6 ± 1.08
173.25c
T11
NP100K + LPSBF without FYM
7.41 ± 0.13
7.88 ± 0.10
7.64a
0.251 ± 0.003
0.271 ± 0.004
0.261a
0.39 ± 0.004
0.40 ± 0.002
0.39d
178.5 ± 1.4
179.1 ± 1.4
178.8bc
20.7 ± 0.23
21.5 ± 0.42
21.1c
183.4 ± 1.44
184.0 ± 1.56
183.70ab
T12
NP100K + CCB without FYM
7.41 ± 0.14
7.85 ± 0.11
7.63a
0.250 ± 0.001
0.268 ± 0.001
0.259a
0.36 ± 0.001
0.38 ± 0.004
0.37e
177.2 ± 1.8
178.2 ± 0.9
177.7c
18.3 ± 0.08
19.4 ± 0.38
18.8d
180.7 ± 1.38
181.2 ± 0.80
180.95b
Mean
7.41B
7.89A
0.25A
0.27A
0.41B
0.43A
177.1A
178.4A
19.8B
21.9A
179.9A
180.8A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates with 10 plants each. Values with different letters in a column differ significantly from one another with two-way ANOVA post hoc Tukey's-b test at p ≤ 0.05.
Initial soil properties of the field trial during 2022–23 and 2023–24 were as follows: pH 7.60 and 7.95; EC 0.22 and 0.24 dS m−1; OC 0.39 and 0.40%; available N 165.4 and 165.9 kg ha−1; available P 15.7 and 16.3 kg ha−1; and available K 168.5 and 169.7 kg ha−1, respectively.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on microbial count in the rhizosphere of potato grown in fields at harvest.
Treatment
Microbial count (Log10CFU g−1)
Bacteria
Fungi
P-solubilizers
Actinomycetes
Diazotrophs
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
T1
NP0K + FYM
8.31 ± 0.15
8.37 ± 0.14
8.34a
3.90 ± 0.06
3.95 ± 0.07
3.93a
7.20 ± 0.04
7.36 ± 0.12
7.28a
7.24 ± 0.03
7.38 ± 0.09
7.31a
6.01 ± 0.11
6.11 ± 0.02
6.06a
T2
NP0K + FYM + LPSBF
8.43 ± 0.15
8.54 ± 0.01
8.49a
4.10 ± 0.01
4.18 ± 0.04
4.14a
7.30 ± 0.01
7.44 ± 0.02
7.37a
7.52 ± 0.10
7.42 ± 0.02
7.47a
6.70 ± 0.13
6.80 ± 0.01
6.75a
T3
NP0K + FYM + CCB
8.71 ± 0.04
8.68 ± 0.09
8.70a
4.20 ± 0.08
4.26 ± 0.03
4.23a
7.20 ± 0.05
7.30 ± 0.08
7.25a
7.45 ± 0.10
7.73 ± 0.03
7.59a
6.40 ± 0.07
6.50 ± 0.07
6.45a
T4
NP75K + FYM
8.36 ± 0.17
8.54 ± 0.02
8.45a
4.00 ± 0.01
4.06 ± 0.01
4.03a
7.41 ± 0.03
7.50 ± 0.14
7.46a
7.38 ± 0.07
7.37 ± 0.04
7.38a
6.23 ± 0.13
6.33 ± 0.01
6.28a
T5
NP75K + FYM + LPSBF
8.49 ± 0.13
8.62 ± 0.12
8.56a
4.20 ± 0.04
4.23 ± 0.08
4.22a
7.76 ± 0.14
7.80 ± 0.06
7.78a
7.65 ± 0.15
7.49 ± 0.11
7.57a
6.65 ± 0.04
6.75 ± 0.05
6.70a
T6
NP75K + FYM + CCB
8.81 ± 0.11
8.75 ± 0.05
8.78a
4.10 ± 0.01
4.11 ± 0.08
4.11a
7.71 ± 0.07
7.70 ± 0.10
7.71a
7.74 ± 0.02
7.66 ± 0.02
7.70a
6.90 ± 0.10
7.00 ± 0.01
6.95a
T7
NP100K + FYM
8.42 ± 0.14
8.57 ± 0.03
8.50a
4.10 ± 0.05
4.14 ± 0.05
4.12a
7.40 ± 0.03
7.63 ± 0.14
7.52a
7.53 ± 0.10
7.63 ± 0.04
7.58a
6.32 ± 0.05
6.42 ± 0.07
6.37a
T8
NP100K + FYM + LPSBF
8.70 ± 0.14
8.86 ± 0.05
8.78a
4.30 ± 0.03
4.39 ± 0.01
4.35a
7.93 ± 0.01
7.95 ± 0.02
7.94a
7.89 ± 0.05
7.86 ± 0.12
7.88a
6.62 ± 0.11
6.72 ± 0.07
6.67a
T9
NP100K + FYM + CCB
8.85 ± 0.15
8.81 ± 0.12
8.83a
4.20 ± 0.04
4.25 ± 0.05
4.23a
7.78 ± 0.01
7.86 ± 0.13
7.82a
7.85 ± 0.05
7.84 ± 0.13
7.85a
6.92 ± 0.14
7.02 ± 0.13
6.97a
T10
NP100K without FYM
8.40 ± 0.05
8.51 ± 0.03
8.46a
3.90 ± 0.07
3.91 ± 0.07
3.91a
7.57 ± 0.05
7.27 ± 0.15
7.42a
7.60 ± 0.14
7.39 ± 0.14
7.50a
6.31 ± 0.06
6.41 ± 0.03
6.36a
T11
NP100K + LPSBF without FYM
8.71 ± 0.10
8.68 ± 0.08
8.70a
4.20 ± 0.04
4.27 ± 0.02
4.24a
7.83 ± 0.03
7.71 ± 0.12
7.77a
7.67 ± 0.03
7.81 ± 0.11
7.74a
6.34 ± 0.10
6.44 ± 0.09
6.39a
T12
NP100K + CCB without FYM
8.77 ± 0.02
8.74 ± 0.08
8.76a
4.10 ± 0.06
4.14 ± 0.03
4.12a
7.62 ± 0.13
7.84 ± 0.09
7.73a
7.53 ± 0.05
7.61 ± 0.13
7.57a
6.95 ± 0.11
7.05 ± 0.01
7.00a
Mean
8.50A
8.64A
4.11A
4.16A
7.54A
7.57A
7.59A
7.58A
6.53A
6.61A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates with 10 plants each. Values with different letters in a column differ significantly from one another with one-way ANOVA post hoc Tukey's-b test at p ≤ 0.05.
CCB, charcoal-based consortium biofertilizer; LPSBF, liquid phosphate-solubilizing bacterial formulation; DAS, days after sowing.
Effect of liquid formulation of Bacillus licheniformis PRPSB10 and Pseudomonas putida PRPSB38 on soil enzymatic activities and economics of potato cultivation.
Treatment
Alkaline phosphatase activity (μg pNP g−1h−1)
Dehydrogenase activity (μg TPF g−1h−1)
Gross income (₹ ha−1)
Net income (₹ ha−1)
B/C ratio
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
2022–23
2023–24
Mean
T1
NP0K + FYM
22.8 ± 0.3
23.7 ± 0.6
23.3f
44.5 ± 0.5
45.3 ± 0.4
44.9f
190,000
196,400
193,200
82,185
88,585
85,385
1.76
1.82
1.79
T2
NP0K + FYM + LPSBF
26.5 ± 0.6
28.4 ± 0.3
27.5e
46.4 ± 0.3
48.4 ± 0.1
47.4e
208,800
218,400
213,600
100,861
110,461
105,661
1.93
2.02
1.98
T3
NP0K + FYM + CCB
24.6 ± 0.2
25.1 ± 0.6
24.9f
46.0 ± 0.3
46.5 ± 0.1
46.2ef
202,000
206,000
204,000
93,885
97,885
95,885
1.87
1.91
1.89
T4
NP75K + FYM
39.2 ± 0.9
37.2 ± 0.7
38.2c
47.5 ± 0.8
51.5 ± 0.8
49.5d
241,200
250,400
245,800
130,520
139,720
135,120
2.18
2.26
2.22
T5
NP75K + FYM + LPSBF
42.3 ± 0.9
43.4 ± 0.7
42.9b
52.6 ± 0.7
53.8 ± 0.5
53.2c
246,800
254,400
250,600
135,996
143,596
139,796
2.23
2.30
2.26
T6
NP75K + FYM + CCB
40.1 ± 0.1
40.1 ± 0.8
40.1c
48.5 ± 0.5
52.6 ± 0.6
50.6d
244,600
251,800
248,200
133,620
140,820
137,220
2.20
2.27
2.24
T7
NP100K + FYM
43.2 ± 0.4
45.2 ± 0.3
44.2b
53.9 ± 0.8
56.8 ± 0.4
55.4b
277,200
284,400
280,800
165,565
172,765
169,165
2.48
2.55
2.52
T8
NP100K + FYM + LPSBF
46.1 ± 0.2
49.1 ± 0.7
47.6a
57.5 ± 0.4
58.9 ± 0.8
58.2a
316,400
335,200
325,800
204,641
223,441
214,041
2.83
3.00
2.92
T9
NP100K + FYM + CCB
45.8 ± 0.6
47.0 ± 0.8
46.4a
56.4 ± 0.5
58.2 ± 0.5
57.3a
300,800
307,200
304,000
188,865
195,265
192,065
2.69
2.74
2.72
T10
NP100K without FYM
27.1 ± 0.1
29.7 ± 0.2
28.4e
52.7 ± 0.3
53.9 ± 0.6
53.3c
238,000
248,000
243,000
126,365
136,365
131,365
2.13
2.22
2.18
T11
NP100K + LPSBF without FYM
29.5 ± 0.2
34.0 ± 0.8
31.8d
53.5 ± 0.5
54.7 ± 0.6
54.1bc
240,600
249,800
245,200
128,841
138,041
133,441
2.15
2.24
2.19
T12
NP100K + CCB without FYM
28.4 ± 0.1
32.5 ± 0.7
30.5d
53.1 ± 0.7
54.0 ± 0.3
53.6bc
239,000
248,200
243,600
127,065
136,265
131,665
2.14
2.22
2.18
Mean
34.6B
36.3A
51.1B
52.9A
Replications: 3, Design: RBD, Plot size: 5 m × 4 m; Date of sowing: 20.10.2022 and 23.10.2023. Values represent the mean of three replicates with 10 plants each. Values with different letters in a column differ significantly from one another with two-way ANOVA post hoc Tukey's-b test at p ≤ 0.05.
Likewise, the shoot length observed with the treatment T8 was significantly higher than all other treatments which exhibited an increase of 10.0% in the shoot length over the control treatment T7 (NP100K + FYM). The shoot length observed with the treatment T5 (NP75K + FYM + LPSBF) was also statistically not different than that observed with the treatment T7 (NP100K + FYM). The shoot length though decreased in the treatments without FYM compared to the treatments with FYM, however, the shoot length observed with the treatment T11 (NP100K + LPSBF without FYM) was statistically not different from the control treatment T7 (NP100K + FYM). Similarly, the root length was also improved with the use of the bacterial formulations with the highest improvement exhibited by the treatment T8 recorded with an increase of 7.3% over the control treatment T7 (NP100K + FYM). Among the 2 years, the shoot and root length of potato observed in the year 2023–24 was significantly higher than the shoot length recorded in the year 2022–23.
The mean fresh and dry weight of 2 years also exhibited a significant improvement with the application of liquid PSB formulation along with different P doses compared to their respective uninoculated controls (Table 4). The highest fresh and dry weight recorded with the treatment T8 (NP100K + FYM + LPSBF) was significantly higher than all other treatments. The fresh weight observed with the treatment T9 (NP100K + FYM + CCB) was also significantly higher than the control treatment T7 (NP100K + FYM), though significantly lower than the T8 (NP100K + FYM + LPSBF) treatment. The increase in fresh and dry weight with the treatment T8 (NP100K + FYM + LPSBF) was 11.6 and 14.7%, respectively, over the control treatment T7 (NP100K + FYM). A significant decrease in plant fresh and dry weight was observed with the treatments without FYM when compared to treatments with FYM. The mean fresh as well as dry weight of potato recorded in 2023–24 was significantly higher than that observed in 2022–23.
Likewise, the chlorophyll content was also recorded to be highest with the treatment T8 (NP100K + FYM + LPSBF). However, it was not significantly different from treatments T5, T6, T7, and T9 (Table 5). The increase in chlorophyll content with the treatment T8 was found to be 3.9% over the treatment T7 (Table 5).
The normalized difference vegetation index (NDVI) of potato leaves also exhibited an improvement with the application of liquid PSB formulation though, it did not show much variation among the treatments (Table 5). The highest increase in NDVI observed with the treatment T8 (NP100K + FYM + LPSBF) was statistically similar to all other treatments except T1 (NP0K + FYM), T2 (NP0K + FYM + LPSBF) and T3 (NP0K + FYM + CCB). The average NDVI content in 2023–24 was slightly higher than in 2022–23, although the difference was not statistically significant.
Yield parameters
The yield parameters were also improved significantly with the application of microbial formulations with the highest improvement recorded with the treatment T8 (NP100K + FYM + LPSBF; Tables 5, 6).
The mean number of tuber per plant were found to be the highest with the treatment T8 (NP100K + FYM + LPSBF), which was significantly higher than all the other treatments. An increase of 13.6% in tuber number was recorded with the treatment T8 over its respective control treatment T7 (NP100K + FYM). The tuber number decreased significantly in treatments without FYM as compared to their respective FYM-amended control treatments. Furthermore, the mean tuber number of 2 years recorded during 2023–24 was significantly higher than that observed in 2022–23 (Table 5).
Likewise, the liquid PSB formulation also significantly improved the mean tuber yield of 2 years compared to their corresponding uninoculated controls (Table 5). The highest tuber yield was recorded with the treatment T8 (NP100K + FYM + LPSBF), which was significantly higher than all other treatments but statistically not different than the treatment T9 (NP100K + FYM + CCB). An increase of 16.1% in mean tuber yield of 2 years was recorded with the treatment T8 over its control treatment T7. However, the tuber yield differed significantly between treatments without FYM and with FYM. The treatments T10, T11, and T12 (without FYM) showed significantly lower yields compared to the treatment T7 (NP100K + FYM). Furthermore, among the 2 years, the tuber yield observed in the year 2023–24 was significantly higher than the tuber yield obtained in the year 2022–23.
The mean haulm yield of potato of 2 years also exhibited improvement with the application of liquid PSB formulation with the highest haulm yield recorded with the treatment T8 (NP100K + FYM + LPSBF), which was significantly higher than all other treatments but statistically not different from the treatment T9 (NP100K + FYM + CCB). The increase in haulm yield with the treatment T8 was found to be 3.6% over its respective control treatment T7 (Table 5).
In different grade size category, the mean tuber yield of 2 years also showed improvement with the application of liquid PSB formulation compared to the uninoculated controls (Table 6). The highest yield in all the grade size categories was observed with the treatment T8 (NP100K + FYM + LPSBF), which was significantly higher than all other treatments but statistically not different from the treatment T9 (NP100K + FYM + CCB) in the grade size 25–35 mm. In the 45–55 mm grade size category, the yield observed with the treatment T8 (NP100K + FYM + LPSBF) was statistically not different from the tuber yield observed with treatments T5 (NP75K + FYM + LPSBF), T7 (NP100K + FYM) and T9 (NP100K + FYM + CCB). In the >55 mm grade size, the tuber yield observed with the treatment T8 (NP100K + FYM + LPSBF) was statistically similar to that tuber yield observed with the treatment T9 (NP100K + FYM + CCB). An increase in tuber yield of 8.4% in 25–35 mm grade, 3.9% in 45–55 mm grade and 12.3% in the grade >55 mm was observed with treatment T8 over the control treatment T7 (NP100K + FYM). The mean tuber yield with a grade size of 45–55 mm and >55 mm recorded in 2023–24 was significantly higher than that observed in 2022–23.
Nutrient content of haulm and tuber
The mean N, P, and K contents of haulm and tuber of 2 years showed a significant improvement with the application of liquid PSB formulation with 0%, 75%, and 100% P doses compared to their respective uninoculated controls (Table 7). The highest N and P content of haulm was recorded with treatment T8 (NP100K + FYM + LPSBF), which was significantly higher than all other treatments. However, the K content observed with the treatment T8 though significantly higher than all other treatments was statistically similar with the treatment T9 (NP100K + FYM + CCB). An increase of 6.3 in N content, 18.2% in P content and 7.1% in K content of haulm was recorded with the treatment T8 over the control treatment T7.
Likewise, tuber N, P and K content also showed improvement with the application of PSB formulation with the highest improvement exhibited by the treatment T8 (NP100K + FYM + LPSBF). The nitrogen content in tubers observed with treatment T8 was significantly different from all treatments except for the treatment T9 (NP100K + FYM + CCB). However, the increase in tuber P and K content shown by the treatment T8 was significantly higher than all other treatments (Table 7). An increase of 5.7% in nitrogen content, 25.8% in P content and 11.2% in potassium content of tuber was observed with treatment T8 over the control treatment T7 (NP100K + FYM). However, the nutrient content of the haulm and tuber significantly decreased in treatments without FYM compared to their respective treatments with FYM.
Soil parameters
A non-significant change in the soil pH was observed with the application of liquid PSB formulation with different doses of P over their respective uninoculated control treatments in both the years (Table 8). The pH values ranged from 7.39 to 7.45 during 2022–23 and from 7.83 to 7.94 in 2023–24.
The application of the liquid PSB formulation led to an increase in soil electrical conductivity (EC), though the increase was found to be non-significant (Table 8). The EC values ranged from 0.247 to 0.253 dS m−1 in 2022–23 and from 0.267 to 0.272 dS m−1 during 2023–24 with the highest soil EC recorded with the treatment T8 (NP100K + FYM + LPSBF) and T5 (NP75K + FYM + LPSBF) followed by T7 (NP100K + NP100K + FYM) and T11 (NP100K + LPSBF without FYM).
Likewise, the soil organic carbon (OC) showed slight improvement with the application of liquid PSB formulation with different doses of P compared to their respective uninoculated controls (Table 8). The organic carbon content ranged from 0.34 to 0.45% in 2022–23 and from 0.36 to 0.46% in 2023–24, with the highest soil OC recorded with the treatment T8 (NP100K + FYM + LPSBF). The organic content recorded in the treatments with FYM was significantly higher than the organic carbon observed in the treatments without FYM. The soil pH, EC and OC observed in the year 2023–24 was statistically not different from the OC observed in the year 2022–23.
The liquid PSB formulation also significantly affected the soil available N, P and K contents of 2 years (Table 8). The highest available nutrients were recorded with the treatment T8 (NP100K + FYM + LPSBF) with an increase of 1.85% in N, 11.35% in P and 1.45% in K content over the control treatment T7. The nutrient content, found in treatments without FYM was significantly lower than their respective treatments with FYM. Among the 2 years, the mean available N and K content of soil during 2023–24 was higher but not statistically different from that observed in the year 2022–23. However, the mean available P content in soil recorded during 2023–24 was significantly higher than that of 2022–23.
Additionally, the total microbial population of potato rhizosphere was positively influenced by the liquid PSB formulation during both the years, though the improvement observed was non-significant (Table 9). The initial bacterial population, recorded at 1.2 × 106 and 5.6 × 106 CFU ml−1, increased to 6.61 × 108 and 7.24 × 108 CFU ml−1 during the 2022–23 and 2023–24, respectively. Similarly, the fungal population rose from an initial count of 1.3 × 103 and 2.3 × 103 CFU ml−1 to 1.99 × 104 and 2.45 × 104 CFU ml−1 in 2022–23 and 2023–24, respectively. Likewise, the population of phosphate-solubilizing microorganisms also showed an increase from an initial count of 2.04 × 105 and 2.09 × 105 CFU ml−1 to 8.51 × 108 and 8.91 × 108 CFU ml−1 during 2022–23 and 2023–24, respectively. Similarly, actinomycetes populations increased from an initial value of 2.91 × 105 and 2.90 × 105 CFU ml−1 to 7.76 × 107 and 7.24 × 107 CFU ml−1 in 2022–23 and 2023–24, respectively. The diazotrophs population, initially 2.14 × 105 and 2.18 × 105 CFU ml−1, increased to 4.17 × 106 and 5.25 × 106 CFU ml−1during the two cropping years. Among treatments, the highest bacterial, fungal, phosphate-solubilizing, actinomycetes, and diazotrophs populations were recorded in the treatment T8 (NP100K + FYM + LPSBF), though increases were statistically similar with all other treatments.
The liquid PSB formulation also significantly affected the soil alkaline phosphatase and dehydrogenase activity of 2 years compared to the control treatments (Table 10). The highest enzyme activities were recorded with the treatment T8 (NP100K + FYM + LPSBF) which was significantly higher than all other treatments but statistically similar to the treatment T9 (NP100K + FYM + CCB). The treatment T8 exhibited an increase of 7.69% in alkaline phosphatase activity and 5.05% in soil dehydrogenase activity over the control T7. The enzyme activities significantly decreased with the treatments without FYM compared to their respective treatments with FYM. Among the 2 years, the mean alkaline phosphatase as well as dehydrogenase activity was significantly higher in the year 2023–24 than that observed in the year 2022–23.
The results indicated that the tuber inoculation with the liquid formulation of Bl PRPSB10 and Pp PRPSB38 increased the mean net returns by ₹44,876 ha−1 and mean B:C ratio by 0.40 in comparison to control treatment T7 (₹169,165 ha−1, 2.52, respectively) (Table 10).
Discussion
Potato (Solanum tuberosum L.) is one of the world's most important food crops, grown extensively for its high calorific value and versatility in human diets. Phosphorus is a vital macronutrient required for optimal tuber initiation, enlargement, and overall yield potential of potato crop. However, 98% of Indian soils and 36.4% of Punjab soils are deficient in available P due to its high fixation in insoluble forms by calcium in alkaline soils and by iron and aluminum in acidic soils (Sharma et al., 2016; Ibrahim et al., 2022). This results in low phosphorus use efficiency, with plants typically able to utilize only a small fraction of the applied phosphorus fertilizers. To address these challenges, the use of PSB has emerged as a promising eco-friendly strategy. Given the intensive nutrient demands and short crop cycle of potato, integrating PSB with chemical fertilizers and organic inputs like farmyard manure holds significant potential for improving growth, yield and phosphorus availability while sustaining soil health.
Therefore, in the present study, two strains Bacillus licheniformis and Pseudomonas putida exhibiting solubilization of three different phosphate substrates were utilized for the development of a liquid formulation for use in potato crop. In soil, phosphorus predominantly exists in insoluble forms such as tricalcium phosphate, iron phosphate, aluminum phosphate and rock phosphates. In general Bacillus and Pseudomonas spp. are well known phosphate solubilizers (Vyas and Gulati, 2009; Li et al., 2025; Kaur et al., 2025). Bacillus licheniformis and Pseudomonas putida were identified as efficient PSB strains, exhibiting a considerably higher phosphate solubilizing index compared to values reported in earlier studies (Karpagam and Nagalakshmi, 2014; Joshi et al., 2023; Rana et al., 2023). Quantitative estimation revealed that both strains efficiently solubilised three insoluble phosphates, with tricalcium phosphate being the most easily solubilized compared to rock phosphate and iron phosphate, as also reported in earlier studies (Gulati et al., 2008; Vyas and Gulati, 2009; Ateş, 2023).
Pathogenicity screening is a fundamental prerequisite while screening bacteria for biofertilizer development, as it enables the identification and elimination of potentially harmful bacterial strains. Moreover, such screening minimizes the risk of disseminating antibiotic resistance genes, thereby upholding biosafety standards and promoting environmental sustainability prior to field application (Tariq et al., 2022). Both the strains showed no haemolysis on blood agar, confirming the environmental safety of these strains to be employed as biofertilizers.
Additionally, testing compatibility between strains has also been widely used as a criterion for selecting strains during the development of inoculants (Vyas et al., 2025). The potential PSB strains B. licheniformis PRPSB10 and P. putida PRPSB38 showed uninterrupted growth at their intersections, suggesting their ability to coexist without antagonistic effects (Figure 2). This observation holds significance for their potential use as a dual culture in fields.
According to the Fertilizer Control Order (FCO) specifications (1985), PSB liquid formulations should maintain a minimum count of 1.0 × 108 CFU ml−1. Formulation development using trehalose and carboxymethyl cellulose (CMC) significantly improved shelf-life, maintaining viable count above FCO standards for over 365 days (Figures 3, 4). Liquid formulations without additives showed rapid decline in cell viability, highlighting the importance of protectants for long-term storage (Aeron et al., 2012). Trehalose functions as a reserve carbohydrate and is mobilized under stress conditions such as desiccation, osmotic pressure, and temperature extremes and its role in enhancing the shelf life of liquid bioformulations is well-supported by earlier studies (Fillinger et al., 2001; Manimekalai and Kannahi, 2018; Chompa et al., 2024). Likewise, CMC is a cost-effective, non-ionic, water-soluble polymer known to act as an effective cell protectant even at low concentrations. Its moisture retention and viscosity-enhancing properties contribute to the stabilization of viable cells (Almeida et al., 2025; Hashem et al., 2025).
The present study demonstrated the efficacy of liquid phosphate-solubilizing bacterial (LPSBF) formulation containing BlPRPSB10 and PpPRPSB38 (LPSBF) in enhancing growth, yield, nutrient content and soil fertility of potato under field conditions. Field evaluation over 2 years revealed that LPSBF application, particularly with 100% NPK and FYM (T8), significantly improved the growth parameters, nutrient content, yield parameters and soil properties compared to the uninoculated control and the PAU recommended biofertilizer (CCB). Nutrient analysis showed increased N, P, and K content in shoots and tubers as well as soil available nutrients with LPSBF, reflecting improved nutrient mobilization and uptake through phosphate solubilization (Lin et al., 2023).
The application of liquid PSB formulation notably enhanced potato yield attributes, with treatment T8 recording the highest increases of 13.6% in tuber number, 16.2% in tuber yield, and 3.6% in haulm yield over the control (Tables 5, 6). These results corroborate earlier findings where PSB inoculation significantly improved tuber yield and tuber formation in potato through enhanced nutrient availability and root activity (Malboobi et al., 2009; Kaur et al., 2022). The higher haulm yield indicated vigorous vegetative growth and efficient photosynthetic activity, which contributes to better tuber development. Improved haulm yield also reflects enhanced nutrient uptake and overall plant health under favorable treatments (Chauhan et al., 2023). The microbial population in the potato rhizosphere was also increased with bacterial treatment, indicating successful colonization and activity of inoculated strains, supporting previous findings on PSB proliferation under field conditions (Stephen et al., 2015; Talwar et al., 2017). The increased soil dehydrogenase activity with the application of liquid formulation indicated enhanced microbial oxidation, reflecting greater microbial biomass and activity in the soil.
Additionally, the integration of the phosphate-solubilizing liquid formulation (LPSBF) with the farmyard manure and fertilizers at the recommended doses not only enhanced the potato productivity but also led to the economic benefits in terms of mean net returns of ₹44,876 ha−1 to the farmers.
Conclusion
Microbial formulations/biofertilizers are an indispensable part of the integrated nutrient management system. The carrier based formulations have a short shelf life and thus liquid formulations are considered superior due to prolonged shelf life, ease of handling and transportation. In the present study, a liquid formulation containing two phosphate-solubilizing bacterial strains was developed. The formulation with 0.1% CMC for Bacillus licheniformis and 5 mM trehalose for Pseudomonas putida effectively maintained bacterial viability for up to 1 year. Two-year field trials with the liquid formulation confirmed significant improvements in plant growth, nutrient uptake, yield (16.1% higher), and soil health, demonstrating the potential of the PSB formulation as an effective bioinoculant for improving potato productivity under Punjab's agro-climatic conditions. The average net returns gained by ₹44,876 ha−1 and the better cost-benefit ratio of 2.52 indicated that the integrated nutrient management strategy is economically sustainable and profitable for the farmers over the conventional methods that do not use bioinoculant applications.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
Authors are highly thankful to Science and Engineering Research Board, Department of Science and Technology, Government of India coordinated by the Federation of Indian Chambers of Commerce and Industry (FICCI) for the Prime Minister Research Fellowship (SERB/PM Fellowship/2022) and Punjab Agricultural University, Ludhiana, Punjab, India for providing necessary facilities.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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